Associate Director, Data Engineering and Analytics

MSD; Dublin; Hybrid; EUR 127,000 - 199,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) retirement plan

Paid holidays and vacation

Sick leave and compassionate days

Job summary

MSD is seeking an Associate Director of Data Engineering and Analytics within SM S&T to lead complex data initiatives that connect business, science, manufacturing, and digital teams. The role emphasizes data accessibility, scalable pipelines, and data-driven decision making in a regulated environment.

The successful candidate will partner with diverse teams to translate business needs into practical analytics solutions and ensure sustained adoption and measurable value across the product

Qualifications

• Bachelor’s degree in a technical field with eight years of experience (MS with 6).
• Experience in pharmaceutical manufacturing or regulated digital roles.
• Ability to lead complex technical workstreams independently.
• Strong understanding of manufacturing processes and unit operations.
• Experience designing data pipelines, analytics products, dashboards, or scalable analytics.
• Ability to translate between technical and business stakeholders.
• Willingness to travel up to 10%.

Responsibilities

• Lead complex data engineering and analytics initiatives aligned to SM S&T priorities.
• Convert business needs into practical implementation plans and measurable value.
• Manage high-impact workstreams with milestones, risks, and alignment.
• Ensure analytics stay focused on well-defined business problems and scalable value.
• Serve as a technical partner across business, manufacturing, scientific, and digital teams.
• Design and enhance data pipelines and curated datasets for analytics use cases.
• Improve data quality, contextualization, and accessibility across SM S&T.
• Enable scientists and engineers to access data for process monitoring and lifecycle management.

Skills

Data engineering

Analytics

Stakeholder influence

Cross-functional collaboration

Regulated environment

Technical leadership

Data pipelines

Business-technical translation

Education

Bachelor’s degree in Engineering / related technical field

Tools

DataLynx

SEEQ

MPI

MES

Job description

Job Description

We aspire to be the premier research-intensive biopharmaceutical company. We’re at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. Join our company and be part of a team that uses the power of leading-edge science to save and improve lives around the world.

Within Small Molecule Science & Technology (SM S&T), we are advancing digital and data capabilities that strengthen technical operations, accelerate insight generation, and improve business outcomes across the product lifecycle. The Associate Director, Data Engineering and Analytics will play a critical individual contributor role in translating SM S&T data and analytics priorities into scalable solutions, sustained adoption, and measurable value.

Reporting to the recently created, Director of Data Engineering and analytics, this role will lead complex data engineering and analytics initiatives that sit at the intersection of business, science, manufacturing, engineering, and digital technology. The successful candidate will serve as a trusted technical partner across a highly matrixed environment, working across SM S&T, Digital Manufacturing Division, Digital CMC, MPI, IT, and Global Pharmaceutical Operations to advance data accessibility, analytical capability, and data-driven decision-making.

This role requires strong technical depth, sound judgment, and the ability to independently lead workstreams, influence stakeholders, and deliver practical solutions in a regulated environment.

Responsibilities

• Lead execution of complex data engineering and analytics initiatives aligned to SM S&T priorities
• Translate business needs into practical implementation plans, technical requirements, and measurable value outcomes
• Independently manage high-impact workstreams, including milestones, dependencies, risks, and stakeholder alignment
• Ensure analytics efforts remain anchored in well-defined business problems and deliver practical, scalable value
• Serve as a credible technical partner across business, manufacturing, scientific, and digital teams
• Convert complex processes, operational, and business needs into scalable analytical and data engineering solutions
• Bridge technical and non-technical stakeholders to support alignment, clarity, and execution
• Influence cross-functional teams where coordinated delivery is required to achieve business outcomes
• Lead the design and enhancement of robust data pipelines, data flows, and curated datasets supporting analytics use cases
• Improve the quality, contextualization, and accessibility of manufacturing and process data across SM S&T
• Support scalable approaches for integrating data from source systems into analytical environments
• Enable scientists and engineers to more effectively access and use data for process monitoring, investigations, and lifecycle management
• Drive deployment and sustained use of analytics capabilities across Drug Substance, Drug Product, Packaging, and Analytical Sciences
• Apply technical understanding of manufacturing and unit operations to ensure solutions are practical and fit for purpose
• Support development of repeatable methods, user enablement, and working practices that improve adoption beyond centralized expertise
• Represent technical considerations, dependencies, and value drivers in prioritization and governance discussions
• Partner with business and digital stakeholders to clarify high-value use cases and delivery sequencing
• Track progress, adoption, and value realization for assigned initiatives
• Identify and elevate delivery risks, tradeoffs, and resource constraints in a timely manner

Qualifications

Required

• Bachelor’s degree in Engineering, Pharmaceutical Sciences, Data Science, Information Technology, Computer Science, or a related technical discipline with eight (8) years of required experience (MS with 6).
• Significant experience in pharmaceutical manufacturing, technical operations, data engineering, analytics, or related digital roles in a regulated environment
• Demonstrated ability to independently lead complex technical workstreams and deliver results across matrixed organizations
• Strong understanding of manufacturing processes and unit operations across Drug Substance, Drug Product, Packaging, and/or Analytical Sciences
• Experience designing or supporting data pipelines, analytical data products, dashboards, or scalable analytics solutions
• Strong ability to translate between technical and business stakeholders and influence without direct authority
• Demonstrated ability to work effectively across multiple functions, balance priorities, and manage ambiguity
• Travel to manufacturing sites may be required, estimated at <10% of time

Preferred

• Advanced degree in a related technical discipline
• Experience with manufacturing data and analytics platforms such as DataLynx, SEEQ, MPI, MES, historians, or similar technologies

Required Skills:

Business Decisions, Business Decisions, Business Informatics, Business Intelligence (BI), Business Requirements Analysis, Business Workflow Analysis, Data Access, Data Aggregation, Database Administration, Data Engineering, Data Management, Data Modeling, Data Stewardship, Data Strategies, Data Visualization, Data Warehousing (DW), Delivery Management, Design Applications, Enterprise Data Management, Feature Prioritization, Implementation Methodologies, Information Management, Insight Generation, Software Development, Software Development Life Cycle (SDLC) {+ 2 more}

Additional location(s):

Please note the salary range above applies to the Primary Location of the position. Where a role has other listed locations, different compensation guidelines may apply. You may find the salary ranges for additional locations below. If the salary range is not listed for the location you are applying to, our Talent Acquisition team will provide further information to you relevant to your location.

Additional location(s) Compensation Information:

San Francisco Residents Only:

We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only:

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

10/30/2026

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

The primary location for this posting is:

USA - New Jersey - Rahway

Where required by law, the compensation range for this role is provided below.

The salary range for the primary location of this role is:

$142,400.00 - $224,100.00

This range reflects the Company’s reasonable expectation of the base salary applicable to this role at the time of posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.